Learning Machines 101

A podcast by Richard M. Golden, Ph.D., M.S.E.E., B.S.E.E.

Categories:

85 Episodes

  1. LM101-006: How to Interpret Turing Test Results

    Published: 09/06/2014
  2. LM101-005: How to Decide if a Machine is Artificially Intelligent (The Turing Test)

    Published: 27/05/2014
  3. LM101-004: Can computers think? A mathematician.s response

    Published: 12/05/2014
  4. LM101-003: How to Represent Knowledge using Logical Rules

    Published: 29/04/2014
  5. LM101-002: How to Build a Machine that Learns to Play Checkers

    Published: 29/04/2014

5 / 5

Smart machines based upon the principles of artificial intelligence and machine learning are now prevalent in our everyday life. For example, artificially intelligent systems recognize our voices, sort our pictures, make purchasing suggestions, and can automatically fly planes and drive cars. In this podcast series, we examine such questions such as: How do these devices work? Where do they come from? And how can we make them even smarter and more human-like? These are the questions that will be addressed in this podcast series!

Visit the podcast's native language site